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Fuzzy-Based Image Contrast Enhancement for Wind Turbine Detection: A Case Study Using Visual Geometry Group Model 19, Xception, and Support Vector Machines

Traditionally, condition monitoring of wind turbines has been performed manually by certified rope teams. This method of inspection can be dangerous for the personnel involved, and the resulting downtime can be expensive. Wind turbine inspection can be performed using autonomous drones to achieve lo...

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Principais autores: Zachary Ward, Jordan Miller, Jeremiah Engel, Mohammad A. S. Masoum, Mohammad Shekaramiz, Abdennour Seibi
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-01-01
Serier:Machines
Fag:
wind turbine
deep learning
classification
VGG19
Xception
SVM
Online adgang:https://www.mdpi.com/2075-1702/12/1/55
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